125 Azure Ai Jobs - Page 4

Role & responsibilities Design and deploy scalable AI solutions using Azure AI services Write and integrate Python code for AI models, data ingestion and automation. Work with senior developers and cross-functional teams to implement AI features into current systems and applications. Stay updated with the latest advancements in AI and Azure technologies. Preferred candidate profile Bachelors degree in computer science, Engineering, or a related field. Proficiency in programming languages such as Python or C# 5+ years of experience with AI solutions using Azure AI services Experience with LangChain or Semantic Kernel frameworks Experience with Azure AI Services like AI Search, OpenAI and Document Intelligence Experience with Azure Compute Services such as Azure Functions and Apps Services Experience with API development and integration Strong problem-solving skills and attention to detail

What were looking for: 4+ years of experience in Data Science 12 years of proven work in Machine Learning Minimum 2 years of experience in Deep Learning Proficiency in Python, Linux, and Containers (Docker/K8s) Hands-on with GenAI frameworks like LangChain, LlamaIndex, Hugging Face Transformers Experience deploying models using Vertex AI or Azure AI Currently contributing to a live project (public GitHub profile preferred) Key Responsibilities Deploy and manage AI workloads in hybrid cloud environments using RHEL AI and OpenShift AI, with guidance and training provided. Collaborate with teams to fine-tune and operationalize AI models, including large language models (LLMs), using tools like InstructLab. Build and maintain containerized applications with Kubernetes or similar platforms, adapting to OpenShift as needed. Support the development, training, and deployment of AI/ML models, leveraging frameworks like PyTorch or TensorFlow. Assist in implementing MLOps practices for model lifecycle management, with exposure to CI/CD pipelines. Troubleshoot and optimize Linux-based systems to ensure reliable AI performance. Learn and apply Red Hat-specific tools and best practices through on-the-job training and resources. Document workflows and contribute to Reve Clouds team knowledge sharing.

Key Responsibilities: Design and develop intelligent automation workflows integrated with LLM capabilities (e.g., summarization, classification, Q&A) Integrate LLM APIs such as OpenAI, Azure OpenAI , and Google Gemini into UiPath using REST APIs or native connectors Automate document processing leveraging UiPath tools like Document Understanding and AI Center Participate in code reviews, documentation, and development of reusable components for scalable AI/automation solutions Stay current on LLM innovations, tools, and frameworks, and actively contribute to POCs and hands-on experimentation Required Skills & Qualifications: Bachelor's degree in Computer Science , Engineering , Information Technology , or a related field 35 years of experience in automation development , preferably with UiPath Foundational knowledge of LLMs and prompt engineering , with hands-on application in automation Experience integrating with platforms like OpenAI , Azure AI , or Google Cloud AI via APIs Proficiency in Python and ability to embed Python scripts into RPA workflows Exposure to LangChain or a willingness to learn LLM orchestration frameworks Familiarity with unstructured data processing and document understanding concepts Strong communication, collaboration, and continuous learning mindset

Greetings from SwaaS Role : Collaboration AI - Product Owner Location : Chennai, Mode : Work from Office JD: Key Responsibilities Act as the product owner for Microsoft Copilot, Copilot Studio, and related AI collaboration tools. Proven experience with Microsoft 365 Copilot, Copilot Studio, and Azure AI services. Lead governance efforts, including evaluating monthly feature releases, determining enablement or disablement strategies, and communicating changes to the business. Partner with business units to identify use cases, gather requirements, and guide the creation of Copilot Studio agents or escalation to Azure AI when appropriate. Provide strategic guidance on when to use SharePoint Copilot versus Copilot Studio or Azure AI, ensuring the right tool is used for the right scenario. Monitor usage metrics to track adoption, identify underutilized licenses, and implement license reclamation strategies. Enable and support business users in agent creation, offering best practices and hands-on support for Copilot Studio development. Stay current on Microsofts AI roadmap and proactively assess opportunities to enhance digital workplace productivity. Collaborate with IT, security, and compliance teams to ensure responsible AI usage and alignment with enterprise policies. Interested candidates please share your CV to deepa@swaas.net

Location: Hyderabad/Bangalore Department: Advanced Analytics & AI Solutions About the Role We are seeking a highly skilled Senior Data Scientist to lead the end-to-end design, enhancement, and deployment of a machine learning solution that predicts the virality of press articles. This role is part of a high-impact digital media analytics project designed to support brand reputation management by forecasting which headlines are likely to gain rapid traction. The ideal candidate brings deep expertise in natural language processing (NLP), deep learning (especially transformer models like BERT), and hands-on experience with Azure AI services. You will drive the evolution of a proof-of-concept Python model into a scalable, production-grade Azure-based solution integrated with downstream generative AI interfaces. Key Responsibilities Lead the development and optimization of a BERT-based pairwise comparison model for predicting press article virality. Incorporate temporal dynamics into modeling strategy to enhance prediction accuracy over time. Design and implement scalable ML pipelines using Azure AI Hub, Foundry, Blob Storage, and Cosmos DB. Collaborate with architecture and platform teams to ensure smooth lift-and-shift deployment of the solution into client environments. Integrate outputs with Azure OpenAI (GPT-4o) to build conversational interfaces via Microsoft Copilot Studio or Power Apps. Evaluate model performance using robust metrics (accuracy, AUC-ROC, ranking correlation). Manage compute budgets (under $1,000/month) through cost-efficient compute planning and Azure monitoring tools. Work closely with stakeholders to translate business requirements into ML model specifications and insights delivery. Stay up-to-date with advances in NLP, ranking models, and Azure ML ecosystem. Required Skills & Experience 610 years of experience in Data Science or Machine Learning, with a strong focus on NLP or content-based recommendation systems. Deep proficiency in Python, with expertise in transformers, PyTorch/TensorFlow, Hugging Face, and data science libraries (pandas, scikit-learn). Hands-on experience with BERT, pairwise learning, and ranking models. Prior exposure to temporal modeling techniques (e.g., sliding windows, time-based feature engineering). Strong experience with the Azure ecosystem, including: Azure AI Hub and Foundry Azure Machine Learning Azure OpenAI Azure Cosmos DB and Blob Storage Azure Monitor and Application Insights Experience designing or integrating generative AI solutions (e.g., GPT-4, Claude, Gemini). Familiarity with CRISP-DM methodology or other structured data science lifecycles. Preferred Qualifications Experience working with media or digital marketing datasets (clickstream, headlines, user interactions). Knowledge of semantic search or vector databases. Understanding of Copilot/Chatbot development on Microsoft platforms. Experience managing data science projects with budget constraints and deployment pipelines. Published research or prototypes in NLP or content virality modeling is a strong plus.

Job Title : Dot Net Architect Location : PAN INDIA Qualification : Graduation/Post-Graduation Experience : 11+ Years Required skills - Experience in .Net Architect Experience in .Net Core, Azure Experience in Angular or React Experience in Gen AI Mandatory Excellent communication skill. Interested candidates can send their resume and below details at priyanka.v@sigmacareers.in 1. Notice Period (LWD)- 2. Current CTC- 3. Expected CTC Per Month- 4. Current company- 5. Total year of experience- 6. Relevant experience- 7. Do have any offer how much offer you are having offer- 8. Current location- 9. Preferred location- Pune/ Bangalore

Job Description:Job Role: Azure AI Architect Yrs of Exp : 8+ Years Job Location : Remote Work Model : Remote Mandatory skills:- Azure AI Foundry and Co-Pilot Agent Key Responsibilities: - Lead AI strategy initiatives using Microsoft tech stack - Create and guide development of agentic AI applications - Design agents using AI Co-Foundry and Copilot Studio - Develop architecture for AI initiatives at Pfizer - Create proof of concepts for leadership demonstrations Required Skills: - Deep expertise in Microsoft Azure AI services - Experience with AI Foundry and Copilot Studio - Understanding of agent creation and integration - Knowledge of Microsoft tech ecosystem - Ability to guide team on AI strategy - Strong technical architecture skills Preferred Qualifications: - Background in creating connected AI agents - Experience with data fabric and centralized data sources - Familiarity with access control and active directory integrations - Proactive approach to emerging AI technologies

About Company: Papigen is a fast-growing global technology services company, delivering innovative digital solutions through deep industry experience and cutting-edge expertise. We specialize in technology transformation, enterprise modernization, and dynamic areas like Cloud, Big Data, Java, React, DevOps, and more. Our client-centric approach combines consulting, engineering, and data science to help businesses evolve and scale efficiently. We support flexible engagement models including Time & Material, Staff Augmentation, and SoW-based Managed Services. About the Role: Were hiring a Senior Machine Learning Developer to join our data modernization and AI engineering team. In this role, you will design, develop, and deploy ML models and intelligent systems that drive next-gen financial insights. You will work with structured and unstructured data on a secure cloud-based infrastructure leveraging Azure ML , Python , and modern NLP/AI frameworks . Key Responsibilities: Build, train, and implement ML/NLP models for classification, clustering, and text analysis Work with large-scale financial data and develop intelligent automation solutions Clean, normalize, and validate structured and unstructured datasets Build and consume REST APIs for ML services Integrate Azure AI services including Cognitive Services, OpenAI, and Form Recognizer Collaborate with cross-functional teams including DevOps, data engineers, and PMs Follow best practices in model versioning, testing, and deployment Document ML workflows and models for reproducibility and compliance Required Skills & Experience: 6+ years of experience in software/data engineering, with 3+ years in ML/AI Strong Python expertise with libraries like Scikit-learn , Pandas , NumPy , etc. Experience with ML frameworks such as TensorFlow or PyTorch Experience building AI models for NLP tasks like classification, summarization, or entity extraction Familiarity with Azure AI/ML services (Azure ML Studio, Cognitive Services, AKS, Key Vault) Experience handling both structured and unstructured datasets REST API and Python library development Excellent communication and documentation skills Nice to Have: Exposure to finance sector datasets or financial document automation Experience with Azure OpenAI , Azure Language Studio, or Chatbot frameworks Familiarity with statistical programming languages like R or Julia Microsoft Data or Azure AI/ML certifications Benefits and Perks Opportunity to work with leading global clients Flexible work arrangements with remote options Exposure to modern technology stacks and tools Supportive and collaborative team environment Continuous learning and career development opportunities

We're Hiring | AI Lead GenAI & LLMs | 8-10 Yrs | Multiple Xebia Locations | Hybrid Locations: Bangalore | Hyderabad | Chennai | Pune | Bhopal | Jaipur | Gurugram (Hybrid 3 days/week in office) Experience: 8 to 10 years Joiners: Immediate to Max 2 Weeks Notice Period ONLY About the Role: Are you a visionary in the AI/ML space looking to build cutting-edge Generative AI solutions ? We are seeking an accomplished AI Lead who will architect and drive enterprise-grade AI systems—leveraging LLMs, deep learning models, vision AI, and GenAI . You’ll lead from the front, mentor top talent, and build transformative solutions that shape the future of intelligent applications. Key Responsibilities: Architect and implement scalable Generative AI (GenAI) and RAG solutions using LLMs , vision models , and vector databases Lead the design, development, and deployment of AI/ML and deep learning systems Integrate AI platforms with Azure AI Studio , SharePoint , and Power BI Guide the team in leveraging Agentic frameworks like LlamaIndex Align with business stakeholders to craft and deliver high-impact AI strategies Drive innovation, technical mentorship, and excellence across the AI team Establish coding best practices, performance tuning, and scalable solution design Must-Have Skills: 8–10 years of AI/ML experience, with 3+ years in leadership or architecture roles Proficiency in Python , TensorFlow , PyTorch , Scikit-learn Strong experience in LLMs , OCR , Vision AI , vector DBs , RAG Familiarity with Azure AI Studio , Azure Cloud Architecture , and Azure DevOps Exposure to Agentic frameworks and tools like LlamaIndex Basic working knowledge of Power BI and SharePoint Proven leadership and team management skills Good-to-Have: Experience with AWS or GCP Knowledge of DevOps practices , CI/CD , Kubernetes Awareness of AI ethics , governance , and compliance Exposure to advanced BI/visualization tools To Apply: Send your resume to vijay.s@xebia.com with the following details: Full Name Total Experience Current CTC Expected CTC Current Location Preferred Xebia Location (from above) Notice Period / Last Working Day (if serving) Primary Skills LinkedIn Profile Important: Apply only if you’re available to join immediately or within 2 weeks and are not currently in process with other roles at Xebia. #AIJobs #GenerativeAI #LLMs #VisionAI #XebiaHiring #ImmediateJoiners #Python #AzureAI #AIML #LeadershipHiring #DataScienceJobs #AgenticFrameworks #ChennaiJobs #PuneJobs #BangaloreJobs #HyderabadJobs #GurugramJobs #JaipurJobs #BhopalJobs #TechHiring #AILead

Ready to build the future with AI At Genpact, we don&rsquot just keep up with technology&mdashwe set the pace. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquos possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Manager - AI Architect We are seeking a highly skilled AI Architect to design, develop, and oversee artificial intelligence (AI) and agentic solutions. You will be responsible for creating scalable AI architectures, integrating AI models / agentic solutions into enterprise systems, and ensuring alignment with business objectives . This role requires deep technical expertise , strategic thinking, and the ability to work with cross-functional teams. Responsibilities: AI Strategy & Architecture: Design and implement AI/ML architectures that align with business goals. Define best practices for AI model lifecycle management , including training, deployment, and monitoring. Ensure A gentic solutions are scalable, secure, and efficient for enterprise deployment. AI Development & Integration: Select the right AI frameworks, tools, and platforms for business needs. Oversee the development and integration of AI models into enterprise applications. Collaborate with data scientists and engineers to optimize AI models for performance and accuracy. Governance & Compliance: Establish AI governance frameworks to ensure ethical and responsible AI usage. Ensure compliance with data privacy laws (e.g., GDPR, CCPA) and industry regulations. Implement robust AI security measures to protect against adversarial attacks. Collaboration & Leadership: Work closely with business leaders, IT teams, and data science teams to translate requirements into AI solutions. Lead and mentor AI developers Stay updated with the latest AI trends and drive innovation in AI adoption within the organization. Qualifications we seek in you! Minimum qualifications: Technical Skills: Expertise in machine learning, deep learning, and NLP (TensorFlow, PyTorch , Hugging Face, etc.). Fine-tuning and Prompt Engineering - Optimizing LLMs like GPT-4, LLaMA , Claude, and Gemini for agentic behavior. Retrieval-Augmented Generation (RAG) - Integrating LLMs with knowledge bases for real-time decision-making. Agentic Frameworks - Proficiency in LangChain , AutoGPT , BabyAGI , or CrewAI for building autonomous agents. Strong knowledge of cloud AI platforms (AWS, Azure AI, Google Vertex AI). Proficiency in programming languages (Python, Java, R, etc.). Understanding of MLOps practices for model deployment and monitoring. Experience with API development and microservices architecture. Soft Skills: Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Ability to work in a fast-paced, cross-functional environment. Preferred Qualifications: Master&rsquos in Computer Science , AI, Data Science, or related fields. Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Professional ML Engineer). Relevant years of experience in software development or equivalent Experience in AI ethics and bias mitigation (Optional) Why join Genpact Lead AI-first transformation - Build and scale AI solutions that redefine industries Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career &mdashGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills Grow with the best - Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace Committed to ethical AI - Work in an environment where governance, transparency, and security are at the core of everything we build Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up . Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

We are looking for a talented Sr. Backend Python Developer to strengthen the Generative AI engineering team. You will focus on developing secure, scalable, and efficient services for the AI platform. You'll contribute to building APIs, vector database integration, and LLM orchestration pipelines that drive real-time document understanding and AI-driven insights. Responsibilities Design, develop, and optimize RESTful and streaming APIs using FastAPI and Python. Architect scalable and modular microservices, integrating with vector databases such as Azure AI Search, AstraDB, or FAISS. Implement Retrieval-Augmented Generation (RAG) pipelines and intelligent document ingestion workflows. Build backend services supporting AI chatbot functionality, including prompt orchestration, real-time LLM responses, and streamed chat experiences. Manage user access control, chat history, token usage tracking, and metadata services for documents. Apply software engineering best practices including Design Patterns (e.g., Singleton, Factory) and clean architecture principles. Leverage SQLAlchemy ORM for database modeling and asynchronous I/O for scalable performance. Ensure secure coding practices, observability, and robust error handling. Work on API Gateway design and implementation for managing authentication, rate limiting, and routing. Deploy and manage services using Docker, Kubernetes, and cloud infrastructure on Azure or equivalent (AWS/GCP). Integrate and operationalize Azure AI Services (e.g., OpenAI, Azure Search, Cognitive Services) or comparable cloud-based AI tools. Qualifications 5+ years (5 min to 8 max years)of experience in Python backend development, with a strong understanding of asynchronous programming. Expertise in FastAPI, SQLAlchemy, Pydantic, and scalable backend architecture. Hands-on experience with chatbot development and integrating LLMs (e.g., GPT, Claude, Gemini) into backend systems. Familiarity with LLM orchestration frameworks such as LangChain, OpenAI SDK, or LlamaIndex. Strong knowledge of RAG architecture and real-time document-query pipelines. Experience with API Gateway management and building secure, multi-tenant backend platforms. Proficiency in SQL/NoSQL databases such as Postgre SQL,MYSQL or CosmosDB. Experience integrating Azure AI Services, or equivalents from AWS or Google Cloud. Understanding of role-based access control and secure authentication using JWT/OAuth2. Familiarity with containerization (Docker), CI/CD workflows, and monitoring/logging tools. Hands on with frontend technologies such as Next.js, React.js, TypeScript, and Tailwind CSS to enable better cross-functional collaboration. Understanding of frontend-backend integration, chat UI streaming, and WebSockets/SSE mechanisms. Exposure to document processing, chat memory management, and multi- agent prompt routing. Contributions to open-source Generative AI tools, AI agents, or internal LLM platforms. Experience working in Agile teams, writing unit/integration tests, and participating in code reviews.

Role & responsibilities Personal responsibility (if any) / Performance measures: Key Responsibilities: Develop and maintain applications using the Copilot ecosystem. Integrate Azure AI services to enhance application functionality. Design and implement workflows using Power Automate. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Troubleshoot and resolve issues related to AI and automation solutions. Stay updated with the latest trends and advancements in AI, automation, and related technologies. Functions / Day-to-day activities: Bachelor's / masters degree in computer science, Information Technology, or a related field. 3-5 years of experience in developing applications within the Copilot ecosystem. Proficiency in Azure AI services, including Cognitive Services, Machine Learning, and Bot Services. Strong experience with Power Automate for creating automated workflows. Solid understanding of programming languages such as Python, C#, or JavaScript. Experience with RESTful APIs and integrating third-party services. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Qualifications : Bachelor's / master’s degree in computer science, Information Technology, or a related field. 3-5 years of experience in developing applications within the Copilot ecosystem. Proficiency in Azure AI services, including Cognitive Services, Machine Learning, and Bot Services. Strong experience with Power Automate for creating automated workflows. Solid understanding of programming languages such as Python, C#, or JavaScript. Experience with RESTful APIs and integrating third-party services. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred candidate profile

Website: Leading Global Technology Research & Advisory Firm | ISG (isg-one.com) Wanted: dynamic and creative individuals ready to connect with a like-minded team. Youll enjoy all the autonomy you need to help our clients make their digital infrastructure faster and more effective. Free reign for free spirits doesn’t mean you’ve got to go it alone. Over 1400 teammates from around the globe are eager to help you out when things get down to wire. Their expertise will put you on the winning path and keep you there. So, get ready to kickstart your career with a team that’s connected – connected by freedom. Role Overview ISG Research is one of the fastest-growing segments within ISG. To enable future growth and scale, we’re modernizing our research operations using AI and intelligent automation.We’re looking for an experienced AI Developer who is passionate about transforming real-world business processes using emerging technology. This is a high-impact role where you’ll work closely with professional researchers, cross-functional business leaders, and global technology stakeholders to shape the future of our research operations. You’ll thrive here if you: Are a creative problem-solver who enjoys figuring things out independently Communicate clearly with both technical and non-technical collaborators Bring a positive, can-do attitude and a drive to make meaningful change Are excited to work across AI, Automation, and Microsoft platforms to build intelligent, scalable systems This role is based in Bangalore and will collaborate with colleagues across the US, Europe, and India . Key Responsibilities Design, develop, and implement AI-driven solutions to streamline and enhance research processes Leverage AI tools (ChatGPT Enterprise, and Microsoft CoPilot Enterprise) and Automation tools (e.g., Azure AI Services, Power Automate, Power Apps, Copilot Studio) to deliver intelligent workflows Build and integrate agentic tools and LLM-powered assistants to support business users Analyze current-state workflows and identify opportunities for automation or augmentation Integrate internal and third-party APIs to extend system capabilities Work with stakeholders to define requirements and translate them into working solutions Document technical designs, processes, and best practices Continuously learn and recommend new tools, approaches, and AI services Technical Skills RequirementsProgramming & Scripting Strong in Python (required) Familiarity with PowerShell , C# , or .NET is a plus (for MS ecosystem alignment) AI/ML Experience Experience working with Azure AI Services (e.g., Azure OpenAI, Azure Machine Learning, Cognitive Services) Familiarity with agent frameworks like LangChain , Semantic Kernel , or Microsoft Copilot Studio Solid understanding of Large Language Models (LLMs) and prompt engineering Ability to build and maintain custom GPT agents or copilots Automation & Integration Experience with Microsoft Power Platform , especially: Power Automate Power Apps Dataverse Integration experience using Microsoft Graph API , REST APIs , or Logic Apps Bonus: Experience with Microsoft Synapse , Azure Data Factory , or RPA tools (UiPath, Power Automate Desktop) Data & Cloud Good understanding of data structures , ETL , and API-based integration Hands-on experience with Azure , including deployment and monitoring of AI services Experience Level 5–10 years of experience in software development, with recent experience focused on AI/ML, automation, or Microsoft technologies Demonstrated ability to independently research and deliver working solutions in ambiguous problem spaces Prior experience modernizing legacy business or knowledge-based workflows is a plus Soft Skills and Traits Strong problem-solving skills and a growth mindset Excellent communication skills, both written and verbal Ability to collaborate across time zones with teams in the US and Europe Comfortable working with domain experts (e.g., researchers, consultants) Organized, curious, and eager to learn Education & Certifications Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate Microsoft Power Platform Developer Associate (or equivalent experience) Work Setup Location : Bangalore, India Work Arrangement : Hybrid – required to work from the office 2–3 days per week Collaborates with teams in India , Europe , and the United States Why Join ISG? Be part of a high-growth, high-impact transformation initiative Use cutting-edge tools across AI, automation, and Microsoft platforms Shape how a successful research business evolves for the next decade Collaborate with a global team of smart, experienced professionals Help define how real AI adoption happens inside the enterprise At ISG, we don’t just accept difference — we celebrate it, we support it, and we thrive on it for the benefit of our employees, our clients, and our communities. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. ISG is proud to be an equal opportunity workplace and we are committed to creating an inclusive environment for all employees. The more diverse and inclusive we are, the better our work will be.The duties and responsibilities described in this job description may not be a comprehensive list. Additional tasks may be assigned to the employee from time to time and/or the scope of the job may change as necessitated by business demands.

Role & responsibilities Focus on designing and developing proof of concepts (PoCs) and demonstrate the solution on a tight schedule. Utilize GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes. Work with data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory to build agentic workflow Embed/integrate GenAI agents (Copilot agents) into business platforms such as Workday, Teams, etc Manage small to medium-sized projects with minimal supervision. Automation of complex processes using GenAI agents, especially using the Azure GenAI echo system Advanced Python programming Hands-on experience with data storage systems, especially Snowflake, Azure Data Factory, Azure Fabric, and Azure Synaps Building Copilot agents and embedding them into systems such as Workday, Teams, etc Preferred candidate profile Bachelors or masters degree in AI, computer science, Engineering, mathematics or a related field. 2-4 years of experience in developing and deploying AI/ML solutions to production. Hands-on experience with no code, low code, and SDKs for AI system development. Proficiency in data platforms such as Microsoft Azure, Snowflake, and integration services like Azure Data Factory. Experience with Azure Cloud, Azure AI Foundry, Copilot Studio, and frameworks such LangChain, LangGraph, MCP for building agentic systems. Strong understanding of Agile methodology and project management. Ability to manage projects independently and make decisions under ambiguity.

Role & responsibilities: Looking for 5 to 8 years experience of ML Engineer with strong Azure Cloud DevOps with even stronger DABs DevOps skills with even stronger DABs Databricks Asset Bundles implementation knowledge. 1 Azure Cloud Engineer 2 Azure DevOps CICD experienced in DABs 3 ML Engineer for deployment Translate business requirement into technical solution Implementation of MLOPS Scalable solution using AIML and reduce the risk of Fraud and other fiscal crisis Creating MLOPS Architecture and implementing it for multiple models in a scalable and automated way Designing and implementing end to end ML solutions Operationalize and monitor machine learning models using high end tools and technologies Design implementation of DevOps principles in Machine Learning Data Science quality assurance and testing Collaborate with data scientists engineers and other key stakeholders Preferred candidate profile: Azure Cloud Engineering Design implement and manage scalable cloud infrastructure on Microsoft Azure Ensure high availability performance and security of cloud based applications Collaborate with cross functional teams to define and implement cloud solutions Azure DevOps CICD Develop and maintain CICD pipelines using Azure DevOps Automate deployment processes to ensure efficient and reliable software delivery Monitor and troubleshoot CICD pipelines to ensure smooth operation DABs Databricks Asset Bundles Implementation Lead the implementation and management of Databricks Asset Bundles Optimize data workflows and ensure seamless integration with existing systems Provide expertise in DABs to enhance data processing and analytics capabilities Machine Learning Deployment Deploy machine learning models into production environments Monitor and maintain ML models to ensure optimal performance Collaborate with data scientists and engineers to integrate ML solutions into applications.

At STAEDEAN , we are motivated by a simple yet impactful mission: to empower our customers by solving complex business challenges with seamless digital solutions. Trusted by over 2,000 customers worldwide, we are an enthusiastic and tech-savvy team dedicated to driving innovation at every step. As an AI/ML Engineer, you will be a core contributor to the implementation of intelligent, production-ready solutions that integrate seamlessly with Microsoft platforms. Working closely with our AI Architect, Data Scientist, and Product Owners, you will bring AI concepts to lifebuilding robust pipelines, interfaces, and integrations for ERP and business applications powered by large language models (LLMs), Azure AI, and Copilot. Your responsibilities will include: What You Need to Succeed: Proven experience in AI/ML applications, ideally in enterprise or ERP settings Hands-on experience with Azure AI services, Copilot, and ERP systems, preferably Microsoft Dynamics 365 or similar platforms Familiarity with Power Platform, Power BI, and Dataverse Strong Python skills for backend logic, data processing, and model orchestration Experience building modular pipelines, APIs, and workflows in cloud environments Understanding of prompt engineering, RAG (Retrieval-Augmented Generation) and fine-tuning, and LLM evaluation best practices Ability to work independently and take ownership of projects while meeting deadlines Strong collaboration and communication skillsyou can align with architects, developers, and business stakeholders Bonus: Experience with MLOps, DevOps, CI/CD, and monitoring tools

Working knowledge of Azure AI Working knowledge of LLM , RAG- Data insights , Reasoning Agent , Chain of thought Knowledge of Graph DB , COSMOS DB , Neo4j Prompt engineering API building Domain knowledge in Finance , data management Should have worked on enterprise AI use cases and one go live solution.

Req ID: 329815 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a DOT NET Full Stack + Azure Developer to join our team in Bangalore, Karn?taka (IN-KA), India (IN). Experience: 10 to 12 years Responsibilities: Design and architect web applications using ASP.NET Core 6 and C# for backend development. Develop single-page applications (SPAs) using React and Redux for frontend development. Implement unit testing frameworks such as xUnit for backend code and Jest for frontend code to ensure high-quality software. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the performance, quality, and responsiveness of applications. Identify and correct bottlenecks and fix bugs. Maintain code quality, organization, and automation. Provide technical leadership and mentoring to junior & senior developers. Stay updated with the latest industry trends and technologies. Required Skills: Proficiency in ASP.NET Core 6, C#, React, Redux, and Python. Strong experience with RESTful API design and implementation. Expertise in SQL Server and database management. Hands-on experience with Azure services including Azure Cognitive search, Azure Web App, Azure App Service, Azure Function App, Azure Application Insights, Azure Logic App, Azure Data Factory, Azure Search Service, Azure SQL, ADLS Gen2, Azure Storage Account, Azure Key Vault, API Connection, Alert Rules, and Azure AI. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click . If you'd like more information on your EEO rights under the law, please click . For Pay Transparency information, please click.

Maersk is a global leader in integrated logistics, and we've been industry pioneers for over a century. Through innovation and transformation, we're redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning, and we work hard to ensure that the people in our organization reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. Position Summary: We are seeking a Data Analyst, Data Analytics , with strong proficiency in Power BI and Excel , and a solid understanding of AI tools , to join and lead our dynamic team. In this role, you will be responsible for analyzing complex datasets, generating accurate operational reports, and delivering actionable insights that inform strategic and tactical decision-making across the organization. You will also lead and mentor a team of data analysts, fostering collaboration and ensuring high-quality, impactful data solutions. You will work closely with cross-functional teams to drive data-driven decision-making and improve operational efficiencies. Key Responsibilities: Team Leadership & Mentorship: Lead, mentor, and guide a team of data analysts, fostering their growth and ensuring high performance. Oversee the team's workload, prioritize tasks, and ensure timely and accurate delivery of all analytical outputs. Promote a culture of continuous learning, collaboration, and data excellence within the team. Operational Reporting & Data Analysis: Oversee the collection, cleaning, and analysis of large datasets from various sources to deliver actionable insights. Ensure accurate understanding and reporting on operational metrics and business performance , highlighting trends, anomalies, and underlying causes. Review and refine interactive and automated Power BI dashboards that visualize key performance indicators (KPIs) and support daily operational needs. Guide the development of Excel-based reports for data exploration, quick analyses, and business reviews. Power BI & Analytical Tools Implementation: Lead the design and implementation of Power BI solutions using Power Query, Power Pivot, and DAX, ensuring best practices. Collaborate strategically with stakeholders to tailor reports and dashboards to evolving business needs. Drive the adoption and usage of Power BI across departments by championing user-friendly and insightful visualizations and training initiatives. AI Tools & Advanced Analytics: Oversee the application of machine learning techniques and AI tools (e.g., Scikit-learn, Azure AI) to extract patterns and trends from complex datasets. Guide the development of predictive models to support forecasting, customer behavior analysis, or performance optimization. Champion the leverage of AI capabilities to enhance data interpretation and automate insight generation processes. Cross-Functional Collaboration & Strategic Support: Work closely with stakeholders from operations, marketing, finance, and other teams to translate complex business questions into robust analytical solutions . Provide strategic and operational support by delivering data in a format that is easy to understand, actionable, and drives tangible business outcomes. Data Governance & Quality Control: Ensure data integrity and consistency through rigorous validation, cleansing, and quality checks across all analytical outputs. Lead efforts to maintain compliance with internal data governance and security standards. Continuous Improvement & Innovation: Continuously refine reporting systems and tools to improve accuracy, usability, and performance across the team. Stay up to date with the latest developments in Power BI, Excel, AI tools, and industry best practices, driving their adoption where beneficial. Required Skills and Qualifications: Experience: Proven experience in data analysis and operational reporting, with demonstrated leadership or team lead experience. Power BI & Excel Proficiency: Expert proficiency in Power BI (Power Query, DAX, Power Pivot) and Microsoft Excel (advanced formulas, pivot tables, lookups, VBA macros a plus). Analytical Mindset: Strong analytical mindset with exceptional attention to detail and accuracy in reporting. Data Handling: Skilled in working with and deriving meaningful insights from large, complex datasets. SQL Expertise: Strong experience in SQL for data extraction and transformation. Programming for Data Analysis: Basic to intermediate knowledge of Python or R for data analysis (e.g., Pandas, NumPy, Seaborn). Communication: Effective communicator, able to present complex data clearly and compellingly to non-technical audiences, including senior leadership. Collaboration & Prioritization: Strong team player with the ability to work cross-functionally, manage multiple priorities, and delegate effectively. Preferred Qualifications: Exposure to machine learning frameworks and predictive analytics in a production environment. Understanding of data governance and data privacy principles, ideally in a global context. Prior experience leading or mentoring junior data analysts. Key Success Metrics: Timely and accurate delivery of operational and business-critical reports and insights. Clear, actionable data insights that consistently drive process improvements and better decision-making. Enhanced adoption and utilization of Power BI and Excel-based reporting tools across business units. Team performance, development, and retention. What We Offer: Maersk offers a tailored onboarding and induction program with access to a wide range of training schemes to support your continuous learning and development. Your success is important to us! You'll also receive an annual bonus based on company performance and access to a fantastic range of wellbeing, mental health support, and financial advice through our Employee Assistance Program. For eligible roles, we offer short-term incentives to recognize and reward outstanding results. While this role is advertised as full-time, we're happy to discuss flexible working options to find a solution that works for you.

We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI, Cognitive Services, Machine Learning, and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency. Responsibilities: Develop and implement AI-driven applications using Azure AI and Cognitive Services. Design and deploy machine learning models to enhance automation and decision-making processes. Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics. Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions. Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness. Ensure best practices in cloud security, data governance, and compliance. Monitor, maintain, and troubleshoot AI and IoT solutions in production environments. Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation. Required Skills and Qualifications: Bachelors or Master’s degree in Computer Science, Engineering, or a related field. Strong experience with Azure AI, Cognitive Services, and Machine Learning. Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub, Edge, or related services. Expertise in deploying and managing machine learning models in cloud environments. Strong understanding of RESTful APIs, microservices, and cloud-native application development. Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes). Knowledge of cloud security principles and best practices. Excellent problem-solving skills and the ability to work in an agile development environment. Preferred Qualifications: Certifications in Microsoft Azure AI, IoT, or related cloud technologies. Experience with Natural Language Processing (NLP) and Computer Vision. Familiarity with big data processing and analytics tools such as Azure Data. Prior experience in deploying edge computing solutions. AI Engineer Role & responsibilities Preferred candidate profile

Job Summary: We are seeking a visionary and hands-on AI Architect with 8+ years of experience in designing and deploying AI-driven systems, including Generative AI (GenAI), LLM integration, computer vision, and agentic workflows. This role demands deep technical expertise in transformer models, PyTorch, and tools such as Stable Diffusion, ControlNet, and LangChain, as well as a strong grasp of dataset strategy, bias mitigation, and scalable AI system architecture. Experience with e-commerce or fashion datasets is a strong plus. Key Responsibilities: Architect and lead the development of AI/ML systems, with a focus on Generative AI, including diffusion models, GANs, and LLMs. Implement and optimize models such as Stable Diffusion, ControlNet, and OpenPose for real-world use cases in visual content generation. Design LLM-integrated solutions using LangChain, agentic workflows, and multimodal AI systems. Collaborate with cross-functional teams to define dataset strategy, ensuring data relevance, diversity, and quality. Integrate Hugging Face Transformers and PyTorch-based architectures into production environments. Define and implement best practices around bias & fairness, model explainability, and ethical AI design. Lead architectural decisions for scalable AI platforms, focusing on performance, reliability, and continuous learning capabilities. Leverage domain knowledge in e-commerce/fashion for visual understanding, recommendation, or personalization solutions. Qualifications: 8+ years of experience in AI/ML system architecture, including 3+ years specifically in Generative AI and LLM ecosystems. Proficiency in PyTorch, Transformers, Hugging Face, and LangChain. Deep understanding of diffusion models, GANs, ControlNet, and OpenPose. Experience in designing agentic AI workflows, real-time inference systems, and production-grade AI infrastructure. Proven track record in dataset creation/curation, bias analysis, and fairness optimization. Strong communication skills and the ability to translate complex AI concepts into business impact. Preferred Qualifications : Prior experience with e-commerce, fashion technology, or retail-based AI datasets. Contributions to open-source AI frameworks or publications in relevant research areas. Familiarity with cloud AI services (e.g., AWS Sagemaker, Azure AI, or GCP Vertex AI). Understanding of AI observability, versioning, and model governance. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Educational Requirements Master Of Engineering,Master Of Science,Master Of Technology,Bachelor Of Comp. Applications,Bachelor Of Science,Bachelor of Engineering,Bachelor Of Technology Service Line Cloud & Infrastructure Services Responsibilities As an Infra AI Automation Programmer you will work on design, development, and deployment of AI systems that generate content or data, often using techniques such as deep learning, neural networks, and generative models using Python backend coding. Meet with clients in and remotely to understand their business objectives, challenges, and identify potential use cases for Generative AI. Assess the client's existing technology infrastructure, data landscape, and AI maturity to determine the feasibility and best approaches for Gen AI adoption. Conduct workshops and discovery sessions to brainstorm Gen AI applications across various business functions (e.g., content creation, customer service, product development, marketing).Gen AI Strategy and Solution Design: Develop tailored Gen AI strategies and roadmaps for clients in outlining specific use cases, implementation plans, and expected business outcomes. Design Gen AI solutions architecture, considering factors such as model selection (e.g., large language models (LLMs), diffusion models), data requirements, integration with existing systems, and scalability. Evaluate and recommend appropriate Gen AI platforms, tools, and APIs (e.g., OpenAI, Google AI, Azure AI, open-source libraries) relevant to the client's needs and the Indian market. Advise on prompt engineering techniques to optimize the output and performance of Gen AI models for specific client applications. Additional Responsibilities: Besides the professional qualifications of the candidates, we place great importance in addition to various forms personality profile. These include: High analytical skills A high degree of initiative and flexibility High customer orientation High quality awareness Excellent verbal and written communication skills Technical and Professional Requirements: At least 2+ years of programming experience in Python Handson experience in working on Gen AI Handson experience in Tensorflow, Pytorch, Langchain and Prompt Engineering Experience with vector databases and retrieval-augmented generation (RAG). Familiarity with MLOps principles and tools for deploying and managing Gen AI models. Understanding of ethical considerations and responsible AI frameworks. Understanding of data structures, data modelling , SQL & NOSQL Object oriented and functional programming & GIT Knowledge of basic algorithms and object-oriented and functional design principles Deep Knowledge of Mathematics, Probability, Statistics, and Algorithms Good Communication skills Good analytical and problem-solving skills Preferred Skills: Technology->Machine Learning->TensorFlow Technology->Machine Learning->Python Technology->Machine Learning->Generative AI

• Professional experience in AI, with a focus on Microsoft CoPilot and Copilot Studio. • Hands-on experience with AI development platforms, including Power Platform, Microsoft Azure AI and other AI-related tools.

We are seeking a highly skilled and motivated AI Engineer to join our team. In this role, you will leverage your expertise in AI technologies and the Microsoft ecosystem to design, build, and deploy intelligent agents and automation solutions that enhance business processes and deliver value to our clients. Candidates must have extensive experience in the Microsoft environment and be experts in Microsoft CoPilot and related technologies. You will collaborate with cross-functional teams to create innovative solutions using Microsoft tools and platforms. Key Responsibilities: Agent Development: Design, implement, and optimize AI agents using Microsoft CoPilot and related technologies. Develop custom AI solutions leveraging Power Automate, Azure OpenAI, and other Microsoft tools. Solution Integration: Deploy AI solutions within client environments, ensuring scalability and seamless integration with existing systems. Work with stakeholders to identify automation opportunities and tailor solutions to business needs. AI Algorithm and Model Implementation: Design and implement machine learning algorithms, focusing on natural language processing (NLP) and conversational AI. Perform data preprocessing, feature engineering, and model training to create high-performing solutions. Collaboration and Support: Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to deliver integrated solutions. Provide technical guidance and support to ensure the successful adoption and use of AI-driven tools. Continuous Improvement: Stay updated on advancements in AI, machine learning, and Microsoft's AI technologies. Contribute to knowledge sharing by conducting training sessions and documenting best practices. Preferred Skills: Strong knowledge of Microsoft Power Automate, Azure AI, and CoPilot features. Proficiency in Python and its AI/ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with building and managing cloud-based solutions, preferably on Microsoft Azure. Understanding of conversational AI technologies and chatbot frameworks. Experience with data analysis tools and techniques to uncover insights and optimize models. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proven experience in developing and deploying AI/ML models in real-world applications. Strong programming skills, especially in Python, and familiarity with version control systems like Git. Extensive experience in the Microsoft environment, with expertise in CoPilot and related technologies. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced, dynamic environment.

Design, develop, and implement Graph RAG models to enhance data relationships and knowledge retrieval. Build, train, and fine-tune LLMs to work with Microsoft Co-pilot and Open Azure AI. Utilize the Azure Samples Graph RAG Accelerator to accelerate Required Candidate profile exp in developing and deploying AI models, specifically Graph RAG and LLMs. exp with Microsoft Azure, including Azure AI and related services. Azure Samples Graph RAG Accelerator is highly